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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 16546
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    Explanations

    conditional statements or possibilities indicated by the word "could"

    oai_token-act-pair · gpt-3.5-turbo

    the word "could" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ing
    -0.67
    cedented
    -0.60
     Rising
    -0.59
     Forgotten
    -0.58
     vacated
    -0.57
    velop
    -0.57
    kar
    -0.56
     Cortex
    -0.55
    holder
    -0.54
    pite
    -0.54
    POSITIVE LOGITS
     feas
    1.07
    ĸļ
    1.06
    adian
    1.03
    berra
    1.00
     tremend
    0.88
     conce
    0.87
     attest
    0.86
     conclud
    0.86
     be
    0.85
     theoretically
    0.84
    Activations Density 0.085%

    No Known Activations